Domain-specificity is a topic of debate within the field of creativity. To shed light on this issue, we conducted a meta-analysis of cross-domain correlations based on the Kaufman Domains of Creativity Scale (K-DOCS). To evaluate the model fit of one general factor versus two factors that encompass the primary K-DOCS subscales (Scholarly, Everyday, Artistic, Scientific, and Performance), we employed the one-stage meta-analytic structural equation modeling (OSMASEM) approach. Poor fit of these models would provide evidence of domain-specificity, as the proposed models would not outperform the independence model. Our analysis included 45 correlation matrices from 30 studies, with a total sample size of 31,136 participants. The results provided support for a general domain of creativity, as well as a two-factor solution consisting of Arts and Sciences factors. Among the subscales, the highest correlation was found between the Artistic and Performance domains (r = 0.478), while the smallest correlation was observed between the Everyday and Scientific domains (r = 0.178). Furthermore, moderator analyses incorporating age and gender revealed that the Scientific and Everyday subscales exhibited a stronger factor load in older participants compared to younger participants. Implications are discussed for research and practice.